Artificial intelligence is being used in a variety of ways and applied to several fields. Now, a recent article suggests that hardware maintenance can be added on a growing list of IT tasks where AI can make improvements not only for hospitals but other organizations as well.
Last week, writer Mike Miliard from Healthcare IT News made reference to how new technologies are able to be utilized to detect equipment that will malfunction before it happens and then enable repair at a quicker pace. Obviously, this technology will be beneficial to the healthcare industry as well as to patients.
How Artificial Intelligence and Cloud Computing are Benefiting Healthcare
The use of these new technologies is showing early promise in many areas throughout the healthcare industry. These areas range from pathology and radiology to security of medical devices and treatment to specific regimens. Mount Sinai is currently utilizing analytics and AI in treating patients who have kidney disease through their partnership with RenalytixAI while Tampa General has partnered up with GE Healthcare to create an AI command center that will focus on experience and quality improvements.
Meanwhile, the University of Illinois Hospital and Health Sciences System has deployed artificial intelligence services that are cloud-based which will be more effective in maintaining their hardware. The assistant director of technology at UI Health, Andrew Mosio, commented on the how the new subscription ParkView from Park Place Technologies is going to change how things are done here.
According to Mosio, this approach that is cloud-based offers a service that can be integrated with maintenance plans that currently exist; machine learning algorithms are applied to identify faults within the hardware remotely and then assists in diagnosing them. The platform can search for faults within the hardware in storage equipment, networking and server throughout the data center; it will pass on warnings to the operations teams of the company while enabling parts that failed to be fixed at a faster pace.
Proactive Detection Will Save Money and Prevent Things Going Bad
According to Mosio, the technology will bring forth detection that is proactive, which translates into saving money while preventing bad things from happening. He said that “proactive detection will decrease the amount of sneaker patrols that are needed. My staff will be opening fewer tickets because these are things that will get caught. More importantly, he pointed out that it’s going to avoid costly downtime’s and avoid things going bad. We have an electronic health record that supports our enterprise here – if that EHR goes down, bad things start happening, patient care comes into play.”
Another benefit that Mosio commented on with subscribing to a service that is cloud-based for maintenance of hardware has allowed is team to perform while dealing with the pressure of being an institution that is owned by the state; they are charged with frequently finding ways to reduce their budget, so this has become more cost-effective than plans involving OEM maintenance that UI Health has previously purchased.
He added that, “I have strategic initiatives to deal with, end users to deal with. We’re in the midst of a couple large implementations and have an EHR upgrade, so to have this be one less headache is phenomenal for me.”
The experience of UI Health exemplifies the analyst firm IDC’s projection made last year, which was that cloud computing will alter IT shops from a focus dealing with management tasks, such as maintenance of hardware themselves into lines-of-business which buys those services for enterprises that are larger.